StoryTime: Eliciting preferences from children for book recommendations

Ashlee Milton; Michael Green; Adam Keener; Joshua Ames; Michael D. Ekstrand; Maria Soledad Pera

doi:10.1145/3298689.3347048

StoryTime: Eliciting preferences from children for book recommendations

Ashlee Milton, Michael Green, Adam Keener, Joshua Ames, Michael D. Ekstrand, Maria Soledad Pera

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

8 Citations (Scopus)

Abstract

We present StoryTime, a book recommender for children. Our web-based recommender is co-designed with children and uses images to elicit their preferences. By building on existing solutions related to both visual interfaces and book recommendation strategies for children, StoryTime can generate suggestions without historical data or adult guidance. We discuss the benefts of StoryTime as a starting point for further research exploring the cold start problem, incorporating historical data, and needs related to children as a complex audience to enhance the recommendation process.

Original language	English
Title of host publication	RecSys 2019 - 13th ACM Conference on Recommender Systems
Publisher	Association for Computing Machinery (ACM)
Pages	544-545
Number of pages	2
ISBN (Electronic)	9781450362436
DOIs	https://doi.org/10.1145/3298689.3347048
Publication status	Published - 10 Sept 2019
Externally published	Yes
Event	13th ACM Conference on Recommender Systems, RecSys 2019 - Copenhagen, Denmark Duration: 16 Sept 2019 → 20 Sept 2019

Conference

Conference	13th ACM Conference on Recommender Systems, RecSys 2019
Country/Territory	Denmark
City	Copenhagen
Period	16/09/19 → 20/09/19

Keywords

Cold start
Interface
Kids
Preference elicitation
Recommendations

Access to Document

10.1145/3298689.3347048

Cite this

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title = "StoryTime: Eliciting preferences from children for book recommendations",

abstract = "We present StoryTime, a book recommender for children. Our web-based recommender is co-designed with children and uses images to elicit their preferences. By building on existing solutions related to both visual interfaces and book recommendation strategies for children, StoryTime can generate suggestions without historical data or adult guidance. We discuss the benefts of StoryTime as a starting point for further research exploring the cold start problem, incorporating historical data, and needs related to children as a complex audience to enhance the recommendation process.",

keywords = "Cold start, Interface, Kids, Preference elicitation, Recommendations",

author = "Ashlee Milton and Michael Green and Adam Keener and Joshua Ames and Ekstrand, {Michael D.} and Pera, {Maria Soledad}",

year = "2019",

month = sep,

day = "10",

doi = "10.1145/3298689.3347048",

language = "English",

pages = "544--545",

booktitle = "RecSys 2019 - 13th ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "13th ACM Conference on Recommender Systems, RecSys 2019 ; Conference date: 16-09-2019 Through 20-09-2019",

}

Milton, A, Green, M, Keener, A, Ames, J, Ekstrand, MD & Pera, MS 2019, StoryTime: Eliciting preferences from children for book recommendations. in RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), pp. 544-545, 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, 16/09/19. https://doi.org/10.1145/3298689.3347048

StoryTime: Eliciting preferences from children for book recommendations. / Milton, Ashlee; Green, Michael; Keener, Adam et al.
RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), 2019. p. 544-545.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - StoryTime

T2 - 13th ACM Conference on Recommender Systems, RecSys 2019

AU - Milton, Ashlee

AU - Green, Michael

AU - Keener, Adam

AU - Ames, Joshua

AU - Ekstrand, Michael D.

AU - Pera, Maria Soledad

PY - 2019/9/10

Y1 - 2019/9/10

N2 - We present StoryTime, a book recommender for children. Our web-based recommender is co-designed with children and uses images to elicit their preferences. By building on existing solutions related to both visual interfaces and book recommendation strategies for children, StoryTime can generate suggestions without historical data or adult guidance. We discuss the benefts of StoryTime as a starting point for further research exploring the cold start problem, incorporating historical data, and needs related to children as a complex audience to enhance the recommendation process.

AB - We present StoryTime, a book recommender for children. Our web-based recommender is co-designed with children and uses images to elicit their preferences. By building on existing solutions related to both visual interfaces and book recommendation strategies for children, StoryTime can generate suggestions without historical data or adult guidance. We discuss the benefts of StoryTime as a starting point for further research exploring the cold start problem, incorporating historical data, and needs related to children as a complex audience to enhance the recommendation process.

KW - Cold start

KW - Interface

KW - Kids

KW - Preference elicitation

KW - Recommendations

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DO - 10.1145/3298689.3347048

M3 - Conference contribution

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BT - RecSys 2019 - 13th ACM Conference on Recommender Systems

PB - Association for Computing Machinery (ACM)

Y2 - 16 September 2019 through 20 September 2019

ER -

StoryTime: Eliciting preferences from children for book recommendations

Abstract

Conference

Keywords

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